Pandas Profiling Report

Dataset statistics

Number of variables	34
Number of observations	858
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	23
Duplicate rows (%)	2.7%
Total size in memory	228.0 KiB
Average record size in memory	272.1 B

Variable types

Numeric	9
Categorical	25

Warnings

`STDs:cervical condylomatosis` has constant value "0.0"	Constant
`STDs:AIDS` has constant value "0.0"	Constant
Dataset has 23 (2.7%) duplicate rows	Duplicates
`STDs` is highly correlated with `STDs (number)` and 1 other fields	High correlation
`STDs (number)` is highly correlated with `STDs`	High correlation
`STDs:condylomatosis` is highly correlated with `STDs:vulvo-perineal condylomatosis`	High correlation
`STDs:vulvo-perineal condylomatosis` is highly correlated with `STDs:condylomatosis`	High correlation
`STDs: Number of diagnosis` is highly correlated with `STDs`	High correlation
`STDs:syphilis` is highly correlated with `STDs:AIDS` and 1 other fields	High correlation
`STDs:Hepatitis B` is highly correlated with `STDs:AIDS` and 1 other fields	High correlation
`IUD` is highly correlated with `STDs:AIDS` and 1 other fields	High correlation
`Dx:Cancer` is highly correlated with `STDs:AIDS` and 1 other fields	High correlation
`Dx:HPV` is highly correlated with `STDs:AIDS` and 1 other fields	High correlation
`STDs:condylomatosis` is highly correlated with `STDs:AIDS` and 2 other fields	High correlation
`STDs:genital herpes` is highly correlated with `STDs:AIDS` and 1 other fields	High correlation
`Schiller` is highly correlated with `STDs:AIDS` and 1 other fields	High correlation
`STDs: Number of diagnosis` is highly correlated with `STDs:AIDS` and 1 other fields	High correlation
`STDs:AIDS` is highly correlated with `STDs:syphilis` and 23 other fields	High correlation
`Hormonal Contraceptives` is highly correlated with `STDs:AIDS` and 1 other fields	High correlation
`STDs:vulvo-perineal condylomatosis` is highly correlated with `STDs:condylomatosis` and 2 other fields	High correlation
`Hinselmann` is highly correlated with `STDs:AIDS` and 1 other fields	High correlation
`STDs:molluscum contagiosum` is highly correlated with `STDs:AIDS` and 1 other fields	High correlation
`STDs:vaginal condylomatosis` is highly correlated with `STDs:AIDS` and 1 other fields	High correlation
`Biopsy` is highly correlated with `STDs:AIDS` and 1 other fields	High correlation
`Dx:CIN` is highly correlated with `STDs:AIDS` and 1 other fields	High correlation
`Dx` is highly correlated with `STDs:AIDS` and 1 other fields	High correlation
`STDs` is highly correlated with `STDs:AIDS` and 1 other fields	High correlation
`STDs:HPV` is highly correlated with `STDs:AIDS` and 1 other fields	High correlation
`STDs:pelvic inflammatory disease` is highly correlated with `STDs:AIDS` and 1 other fields	High correlation
`STDs:cervical condylomatosis` is highly correlated with `STDs:syphilis` and 23 other fields	High correlation
`STDs:HIV` is highly correlated with `STDs:AIDS` and 1 other fields	High correlation
`Citology` is highly correlated with `STDs:AIDS` and 1 other fields	High correlation
`Smokes` is highly correlated with `STDs:AIDS` and 1 other fields	High correlation
`Num of pregnancies` has 16 (1.9%) zeros	Zeros
`Smokes (years)` has 722 (84.1%) zeros	Zeros
`Smokes (packs/year)` has 722 (84.1%) zeros	Zeros
`Hormonal Contraceptives (years)` has 269 (31.4%) zeros	Zeros
`IUD (years)` has 658 (76.7%) zeros	Zeros
`STDs (number)` has 674 (78.6%) zeros	Zeros

Reproduction

Analysis started	2021-02-17 06:35:30.156620
Analysis finished	2021-02-17 06:36:01.266636
Duration	31.11 seconds
Software version	pandas-profiling v2.10.1
Download configuration	config.yaml

Age
Real number (ℝ_≥0)

Distinct	44
Distinct (%)	5.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	26.82051282
Minimum	13
Maximum	84
Zeros	0
Zeros (%)	0.0%
Memory size	6.8 KiB

Quantile statistics

Minimum	13
5-th percentile	16
Q1	20
median	25
Q3	32
95-th percentile	41
Maximum	84
Range	71
Interquartile range (IQR)	12

Descriptive statistics

Standard deviation	8.497948065
Coefficient of variation (CV)	0.3168451
Kurtosis	4.778575148
Mean	26.82051282
Median Absolute Deviation (MAD)	5.5
Skewness	1.394278767
Sum	23012
Variance	72.21512132
Monotocity	Not monotonic

Histogram with fixed size bins (bins=44)

Value	Count	Frequency (%)
23	54	6.3%
18	50	5.8%
21	46	5.4%
20	45	5.2%
19	44	5.1%
24	39	4.5%
25	39	4.5%
26	38	4.4%
28	37	4.3%
30	35	4.1%
Other values (34)	431	50.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
13	1	0.1%
14	5	0.6%
15	21	2.4%
16	23	2.7%
17	35	4.1%

Value	Count	Frequency (%)
84	1	0.1%
79	1	0.1%
70	2	0.2%
59	1	0.1%
52	2	0.2%

Number of sexual partners
Real number (ℝ_≥0)

Distinct	13
Distinct (%)	1.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	2.527644231
Minimum	1
Maximum	28
Zeros	0
Zeros (%)	0.0%
Memory size	6.8 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2
median	2
Q3	3
95-th percentile	5
Maximum	28
Range	27
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.642267047
Coefficient of variation (CV)	0.6497223885
Kurtosis	71.44822647
Mean	2.527644231
Median Absolute Deviation (MAD)	1
Skewness	5.538918395
Sum	2168.71875
Variance	2.697041053
Monotocity	Not monotonic

Histogram with fixed size bins (bins=13)

Value	Count	Frequency (%)
2	272	31.7%
3	208	24.2%
1	206	24.0%
4	78	9.1%
5	44	5.1%
2.527644231	26	3.0%
6	9	1.0%
7	7	0.8%
8	4	0.5%
9	1	0.1%
Other values (3)	3	0.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	206	24.0%
2	272	31.7%
2.527644231	26	3.0%
3	208	24.2%
4	78	9.1%

Value	Count	Frequency (%)
28	1	0.1%
15	1	0.1%
10	1	0.1%
9	1	0.1%
8	4	0.5%

First sexual intercourse
Real number (ℝ_≥0)

Distinct	22
Distinct (%)	2.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	16.99529965
Minimum	10
Maximum	32
Zeros	0
Zeros (%)	0.0%
Memory size	6.8 KiB

Quantile statistics

Minimum	10
5-th percentile	14
Q1	15
median	17
Q3	18
95-th percentile	22
Maximum	32
Range	22
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	2.791882967
Coefficient of variation (CV)	0.1642738301
Kurtosis	4.348131925
Mean	16.99529965
Median Absolute Deviation (MAD)	2
Skewness	1.570772719
Sum	14581.9671
Variance	7.7946105
Monotocity	Not monotonic

Histogram with fixed size bins (bins=22)

Value	Count	Frequency (%)
15	163	19.0%
17	151	17.6%
18	137	16.0%
16	121	14.1%
14	79	9.2%
19	60	7.0%
20	37	4.3%
13	25	2.9%
21	20	2.3%
22	9	1.0%
Other values (12)	56	6.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
10	2	0.2%
11	2	0.2%
12	6	0.7%
13	25	2.9%
14	79	9.2%

Value	Count	Frequency (%)
32	1	0.1%
29	5	0.6%
28	3	0.3%
27	6	0.7%
26	7	0.8%

Num of pregnancies
Real number (ℝ_≥0)

ZEROS

Distinct	12
Distinct (%)	1.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	2.275561097
Minimum	0
Maximum	11
Zeros	16
Zeros (%)	1.9%
Memory size	6.8 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	1
median	2
Q3	3
95-th percentile	5
Maximum	11
Range	11
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.399325141
Coefficient of variation (CV)	0.6149363083
Kurtosis	3.646025962
Mean	2.275561097
Median Absolute Deviation (MAD)	1
Skewness	1.472193912
Sum	1952.431421
Variance	1.958110849
Monotocity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
1	270	31.5%
2	240	28.0%
3	139	16.2%
4	74	8.6%
2.275561097	56	6.5%
5	35	4.1%
6	18	2.1%
0	16	1.9%
7	6	0.7%
8	2	0.2%
Other values (2)	2	0.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	16	1.9%
1	270	31.5%
2	240	28.0%
2.275561097	56	6.5%
3	139	16.2%

Value	Count	Frequency (%)
11	1	0.1%
10	1	0.1%
8	2	0.2%
7	6	0.7%
6	18	2.1%

Smokes
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	6.8 KiB

0.0	722
1.0	123
0.1455621301775148	13

Length

Max length	18
Median length	3
Mean length	3.227272727
Min length	3

Characters and Unicode

Total characters	2769
Distinct characters	10
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	1.0
5th row	0.0

Value	Count	Frequency (%)
0.0	722	84.1%
1.0	123	14.3%
0.1455621301775148	13	1.5%

Histogram of lengths of the category

Value	Count	Frequency (%)
0.0	722	84.1%
1.0	123	14.3%
0.1455621301775148	13	1.5%

Most occurring characters

Value	Count	Frequency (%)
0	1593	57.5%
.	858	31.0%
1	175	6.3%
5	39	1.4%
4	26	0.9%
7	26	0.9%
6	13	0.5%
2	13	0.5%
3	13	0.5%
8	13	0.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1911	69.0%
Other Punctuation	858	31.0%

Most frequent character per category

Value	Count	Frequency (%)
0	1593	83.4%
1	175	9.2%
5	39	2.0%
4	26	1.4%
7	26	1.4%
6	13	0.7%
2	13	0.7%
3	13	0.7%
8	13	0.7%

Value	Count	Frequency (%)
.	858	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	2769	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	1593	57.5%
.	858	31.0%
1	175	6.3%
5	39	1.4%
4	26	0.9%
7	26	0.9%
6	13	0.5%
2	13	0.5%
3	13	0.5%
8	13	0.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2769	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	1593	57.5%
.	858	31.0%
1	175	6.3%
5	39	1.4%
4	26	0.9%
7	26	0.9%
6	13	0.5%
2	13	0.5%
3	13	0.5%
8	13	0.5%

Smokes (years)
Real number (ℝ_≥0)

ZEROS

Distinct	31
Distinct (%)	3.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	1.219721413
Minimum	0
Maximum	37
Zeros	722
Zeros (%)	84.1%
Memory size	6.8 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	9.15
Maximum	37
Range	37
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	4.057884877
Coefficient of variation (CV)	3.326894843
Kurtosis	24.1781232
Mean	1.219721413
Median Absolute Deviation (MAD)	0
Skewness	4.499581313
Sum	1046.520972
Variance	16.46642967
Monotocity	Not monotonic

Histogram with fixed size bins (bins=31)

Value	Count	Frequency (%)
0	722	84.1%
1.266972909	15	1.7%
1.219721413	13	1.5%
5	9	1.0%
9	9	1.0%
1	8	0.9%
3	7	0.8%
2	7	0.8%
7	6	0.7%
16	6	0.7%
Other values (21)	56	6.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	722	84.1%
0.16	1	0.1%
0.5	3	0.3%
1	8	0.9%
1.219721413	13	1.5%

Value	Count	Frequency (%)
37	1	0.1%
34	1	0.1%
32	1	0.1%
28	1	0.1%
24	1	0.1%

Smokes (packs/year)
Real number (ℝ_≥0)

ZEROS

Distinct	63
Distinct (%)	7.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.4531439506
Minimum	0
Maximum	37
Zeros	722
Zeros (%)	84.1%
Memory size	6.8 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	2.415
Maximum	37
Range	37
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	2.209657329
Coefficient of variation (CV)	4.876281204
Kurtosis	116.6421985
Mean	0.4531439506
Median Absolute Deviation (MAD)	0
Skewness	9.379886073
Sum	388.7975097
Variance	4.882585512
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	722	84.1%
0.5132021277	18	2.1%
0.4531439506	13	1.5%
1	6	0.7%
3	5	0.6%
1.2	4	0.5%
0.05	4	0.5%
2	4	0.5%
0.2	4	0.5%
0.75	4	0.5%
Other values (53)	74	8.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	722	84.1%
0.001	1	0.1%
0.003	1	0.1%
0.025	1	0.1%
0.04	2	0.2%

Value	Count	Frequency (%)
37	1	0.1%
22	1	0.1%
21	1	0.1%
19	1	0.1%
15	1	0.1%

Hormonal Contraceptives
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	6.8 KiB

1.0	481
0.0	269
0.6413333333333333	108

Length

Max length	18
Median length	3
Mean length	4.888111888
Min length	3

Characters and Unicode

Total characters	4194
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	1.0
5th row	1.0

Value	Count	Frequency (%)
1.0	481	56.1%
0.0	269	31.4%
0.6413333333333333	108	12.6%

Histogram of lengths of the category

Value	Count	Frequency (%)
1.0	481	56.1%
0.0	269	31.4%
0.6413333333333333	108	12.6%

Most occurring characters

Value	Count	Frequency (%)
3	1404	33.5%
0	1127	26.9%
.	858	20.5%
1	589	14.0%
6	108	2.6%
4	108	2.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3336	79.5%
Other Punctuation	858	20.5%

Most frequent character per category

Value	Count	Frequency (%)
3	1404	42.1%
0	1127	33.8%
1	589	17.7%
6	108	3.2%
4	108	3.2%

Value	Count	Frequency (%)
.	858	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4194	100.0%

Most frequent character per script

Value	Count	Frequency (%)
3	1404	33.5%
0	1127	26.9%
.	858	20.5%
1	589	14.0%
6	108	2.6%
4	108	2.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4194	100.0%

Most frequent character per block

Value	Count	Frequency (%)
3	1404	33.5%
0	1127	26.9%
.	858	20.5%
1	589	14.0%
6	108	2.6%
4	108	2.6%

Hormonal Contraceptives (years)
Real number (ℝ_≥0)

ZEROS

Distinct	41
Distinct (%)	4.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	2.256419201
Minimum	0
Maximum	30
Zeros	269
Zeros (%)	31.4%
Memory size	6.8 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1
Q3	2.256419201
95-th percentile	9
Maximum	30
Range	30
Interquartile range (IQR)	2.256419201

Descriptive statistics

Standard deviation	3.519081817
Coefficient of variation (CV)	1.559586896
Kurtosis	10.76928492
Mean	2.256419201
Median Absolute Deviation (MAD)	1
Skewness	2.808474354
Sum	1936.007675
Variance	12.38393684
Monotocity	Not monotonic

Histogram with fixed size bins (bins=41)

Value	Count	Frequency (%)
0	269	31.4%
2.256419201	108	12.6%
1	77	9.0%
0.25	41	4.8%
2	40	4.7%
3	39	4.5%
5	34	4.0%
0.5	25	2.9%
0.08	25	2.9%
6	24	2.8%
Other values (31)	176	20.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	269	31.4%
0.08	25	2.9%
0.16	16	1.9%
0.17	1	0.1%
0.25	41	4.8%

Value	Count	Frequency (%)
30	1	0.1%
22	1	0.1%
20	4	0.5%
19	2	0.2%
17	1	0.1%

IUD
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	6.8 KiB

0.0	658
0.11201079622132254	117
1.0	83

Length

Max length	19
Median length	3
Mean length	5.181818182
Min length	3

Characters and Unicode

Total characters	4446
Distinct characters	10
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Value	Count	Frequency (%)
0.0	658	76.7%
0.11201079622132254	117	13.6%
1.0	83	9.7%

Histogram of lengths of the category

Value	Count	Frequency (%)
0.0	658	76.7%
0.11201079622132254	117	13.6%
1.0	83	9.7%

Most occurring characters

Value	Count	Frequency (%)
0	1750	39.4%
.	858	19.3%
2	585	13.2%
1	551	12.4%
7	117	2.6%
9	117	2.6%
6	117	2.6%
3	117	2.6%
5	117	2.6%
4	117	2.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3588	80.7%
Other Punctuation	858	19.3%

Most frequent character per category

Value	Count	Frequency (%)
0	1750	48.8%
2	585	16.3%
1	551	15.4%
7	117	3.3%
9	117	3.3%
6	117	3.3%
3	117	3.3%
5	117	3.3%
4	117	3.3%

Value	Count	Frequency (%)
.	858	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4446	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	1750	39.4%
.	858	19.3%
2	585	13.2%
1	551	12.4%
7	117	2.6%
9	117	2.6%
6	117	2.6%
3	117	2.6%
5	117	2.6%
4	117	2.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4446	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	1750	39.4%
.	858	19.3%
2	585	13.2%
1	551	12.4%
7	117	2.6%
9	117	2.6%
6	117	2.6%
3	117	2.6%
5	117	2.6%
4	117	2.6%

IUD (years)
Real number (ℝ_≥0)

ZEROS

Distinct	27
Distinct (%)	3.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.5148043185
Minimum	0
Maximum	19
Zeros	658
Zeros (%)	76.7%
Memory size	6.8 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	3
Maximum	19
Range	19
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	1.805585427
Coefficient of variation (CV)	3.507323778
Kurtosis	35.17115157
Mean	0.5148043185
Median Absolute Deviation (MAD)	0
Skewness	5.380678276
Sum	441.7021053
Variance	3.260138736
Monotocity	Not monotonic

Histogram with fixed size bins (bins=27)

Value	Count	Frequency (%)
0	658	76.7%
0.5148043185	117	13.6%
3	11	1.3%
2	10	1.2%
5	9	1.0%
1	8	0.9%
7	7	0.8%
8	7	0.8%
4	5	0.6%
6	5	0.6%
Other values (17)	21	2.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	658	76.7%
0.08	2	0.2%
0.16	1	0.1%
0.17	1	0.1%
0.25	1	0.1%

Value	Count	Frequency (%)
19	1	0.1%
17	1	0.1%
15	1	0.1%
12	1	0.1%
11	3	0.3%

STDs
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	6.8 KiB

0.0	674
0.1049136786188579	105
1.0	79

Length

Max length	18
Median length	3
Mean length	4.835664336
Min length	3

Characters and Unicode

Total characters	4149
Distinct characters	10
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Value	Count	Frequency (%)
0.0	674	78.6%
0.1049136786188579	105	12.2%
1.0	79	9.2%

Histogram of lengths of the category

Value	Count	Frequency (%)
0.0	674	78.6%
0.1049136786188579	105	12.2%
1.0	79	9.2%

Most occurring characters

Value	Count	Frequency (%)
0	1637	39.5%
.	858	20.7%
1	394	9.5%
8	315	7.6%
9	210	5.1%
6	210	5.1%
7	210	5.1%
4	105	2.5%
3	105	2.5%
5	105	2.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3291	79.3%
Other Punctuation	858	20.7%

Most frequent character per category

Value	Count	Frequency (%)
0	1637	49.7%
1	394	12.0%
8	315	9.6%
9	210	6.4%
6	210	6.4%
7	210	6.4%
4	105	3.2%
3	105	3.2%
5	105	3.2%

Value	Count	Frequency (%)
.	858	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4149	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	1637	39.5%
.	858	20.7%
1	394	9.5%
8	315	7.6%
9	210	5.1%
6	210	5.1%
7	210	5.1%
4	105	2.5%
3	105	2.5%
5	105	2.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4149	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	1637	39.5%
.	858	20.7%
1	394	9.5%
8	315	7.6%
9	210	5.1%
6	210	5.1%
7	210	5.1%
4	105	2.5%
3	105	2.5%
5	105	2.5%

STDs (number)
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	6
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.176626826
Minimum	0
Maximum	4
Zeros	674
Zeros (%)	78.6%
Memory size	6.8 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	2
Maximum	4
Range	4
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.5264404944
Coefficient of variation (CV)	2.980524002
Kurtosis	13.56993065
Mean	0.176626826
Median Absolute Deviation (MAD)	0
Skewness	3.631471678
Sum	151.5458167
Variance	0.2771395941
Monotocity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
0	674	78.6%
0.176626826	105	12.2%
2	37	4.3%
1	34	4.0%
3	7	0.8%
4	1	0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	674	78.6%
0.176626826	105	12.2%
1	34	4.0%
2	37	4.3%
3	7	0.8%

Value	Count	Frequency (%)
4	1	0.1%
3	7	0.8%
2	37	4.3%
1	34	4.0%
0.176626826	105	12.2%

STDs:condylomatosis
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	6.8 KiB

0.0	709
0.05843293492695883	105
1.0	44

Length

Max length	19
Median length	3
Mean length	4.958041958
Min length	3

Characters and Unicode

Total characters	4254
Distinct characters	10
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Value	Count	Frequency (%)
0.0	709	82.6%
0.05843293492695883	105	12.2%
1.0	44	5.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
0.0	709	82.6%
0.05843293492695883	105	12.2%
1.0	44	5.1%

Most occurring characters

Value	Count	Frequency (%)
0	1672	39.3%
.	858	20.2%
8	315	7.4%
3	315	7.4%
9	315	7.4%
5	210	4.9%
4	210	4.9%
2	210	4.9%
6	105	2.5%
1	44	1.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3396	79.8%
Other Punctuation	858	20.2%

Most frequent character per category

Value	Count	Frequency (%)
0	1672	49.2%
8	315	9.3%
3	315	9.3%
9	315	9.3%
5	210	6.2%
4	210	6.2%
2	210	6.2%
6	105	3.1%
1	44	1.3%

Value	Count	Frequency (%)
.	858	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4254	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	1672	39.3%
.	858	20.2%
8	315	7.4%
3	315	7.4%
9	315	7.4%
5	210	4.9%
4	210	4.9%
2	210	4.9%
6	105	2.5%
1	44	1.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4254	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	1672	39.3%
.	858	20.2%
8	315	7.4%
3	315	7.4%
9	315	7.4%
5	210	4.9%
4	210	4.9%
2	210	4.9%
6	105	2.5%
1	44	1.0%

STDs:cervical condylomatosis
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	6.8 KiB

0.0	858

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	2574
Distinct characters	2
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Value	Count	Frequency (%)
0.0	858	100.0%

Histogram of lengths of the category

Value	Count	Frequency (%)
0.0	858	100.0%

Most occurring characters

Value	Count	Frequency (%)
0	1716	66.7%
.	858	33.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1716	66.7%
Other Punctuation	858	33.3%

Most frequent character per category

Value	Count	Frequency (%)
0	1716	100.0%

Value	Count	Frequency (%)
.	858	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	2574	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	1716	66.7%
.	858	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2574	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	1716	66.7%
.	858	33.3%

STDs:vaginal condylomatosis
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	6.8 KiB

0.0	749
0.005312084993359893	105
1.0	4

Length

Max length	20
Median length	3
Mean length	5.08041958
Min length	3

Characters and Unicode

Total characters	4359
Distinct characters	9
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Value	Count	Frequency (%)
0.0	749	87.3%
0.005312084993359893	105	12.2%
1.0	4	0.5%

Histogram of lengths of the category

Value	Count	Frequency (%)
0.0	749	87.3%
0.005312084993359893	105	12.2%
1.0	4	0.5%

Most occurring characters

Value	Count	Frequency (%)
0	1922	44.1%
.	858	19.7%
3	420	9.6%
9	420	9.6%
5	210	4.8%
8	210	4.8%
1	109	2.5%
2	105	2.4%
4	105	2.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3501	80.3%
Other Punctuation	858	19.7%

Most frequent character per category

Value	Count	Frequency (%)
0	1922	54.9%
3	420	12.0%
9	420	12.0%
5	210	6.0%
8	210	6.0%
1	109	3.1%
2	105	3.0%
4	105	3.0%

Value	Count	Frequency (%)
.	858	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4359	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	1922	44.1%
.	858	19.7%
3	420	9.6%
9	420	9.6%
5	210	4.8%
8	210	4.8%
1	109	2.5%
2	105	2.4%
4	105	2.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4359	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	1922	44.1%
.	858	19.7%
3	420	9.6%
9	420	9.6%
5	210	4.8%
8	210	4.8%
1	109	2.5%
2	105	2.4%
4	105	2.4%

STDs:vulvo-perineal condylomatosis
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	6.8 KiB

0.0	710
0.057104913678618856	105
1.0	43

Length

Max length	20
Median length	3
Mean length	5.08041958
Min length	3

Characters and Unicode

Total characters	4359
Distinct characters	10
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Value	Count	Frequency (%)
0.0	710	82.8%
0.057104913678618856	105	12.2%
1.0	43	5.0%

Histogram of lengths of the category

Value	Count	Frequency (%)
0.0	710	82.8%
0.057104913678618856	105	12.2%
1.0	43	5.0%

Most occurring characters

Value	Count	Frequency (%)
0	1778	40.8%
.	858	19.7%
1	358	8.2%
6	315	7.2%
8	315	7.2%
5	210	4.8%
7	210	4.8%
4	105	2.4%
9	105	2.4%
3	105	2.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3501	80.3%
Other Punctuation	858	19.7%

Most frequent character per category

Value	Count	Frequency (%)
0	1778	50.8%
1	358	10.2%
6	315	9.0%
8	315	9.0%
5	210	6.0%
7	210	6.0%
4	105	3.0%
9	105	3.0%
3	105	3.0%

Value	Count	Frequency (%)
.	858	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4359	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	1778	40.8%
.	858	19.7%
1	358	8.2%
6	315	7.2%
8	315	7.2%
5	210	4.8%
7	210	4.8%
4	105	2.4%
9	105	2.4%
3	105	2.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4359	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	1778	40.8%
.	858	19.7%
1	358	8.2%
6	315	7.2%
8	315	7.2%
5	210	4.8%
7	210	4.8%
4	105	2.4%
9	105	2.4%
3	105	2.4%

STDs:syphilis
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	6.8 KiB

0.0	735
0.02390438247011952	105
1.0	18

Length

Max length	19
Median length	3
Mean length	4.958041958
Min length	3

Characters and Unicode

Total characters	4254
Distinct characters	10
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Value	Count	Frequency (%)
0.0	735	85.7%
0.02390438247011952	105	12.2%
1.0	18	2.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
0.0	735	85.7%
0.02390438247011952	105	12.2%
1.0	18	2.1%

Most occurring characters

Value	Count	Frequency (%)
0	1908	44.9%
.	858	20.2%
2	315	7.4%
1	228	5.4%
3	210	4.9%
9	210	4.9%
4	210	4.9%
8	105	2.5%
7	105	2.5%
5	105	2.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3396	79.8%
Other Punctuation	858	20.2%

Most frequent character per category

Value	Count	Frequency (%)
0	1908	56.2%
2	315	9.3%
1	228	6.7%
3	210	6.2%
9	210	6.2%
4	210	6.2%
8	105	3.1%
7	105	3.1%
5	105	3.1%

Value	Count	Frequency (%)
.	858	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4254	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	1908	44.9%
.	858	20.2%
2	315	7.4%
1	228	5.4%
3	210	4.9%
9	210	4.9%
4	210	4.9%
8	105	2.5%
7	105	2.5%
5	105	2.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4254	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	1908	44.9%
.	858	20.2%
2	315	7.4%
1	228	5.4%
3	210	4.9%
9	210	4.9%
4	210	4.9%
8	105	2.5%
7	105	2.5%
5	105	2.5%

STDs:pelvic inflammatory disease
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	6.8 KiB

0.0	752
0.0013280212483399733	105
1.0	1

Length

Max length	21
Median length	3
Mean length	5.202797203
Min length	3

Characters and Unicode

Total characters	4464
Distinct characters	9
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.1%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Value	Count	Frequency (%)
0.0	752	87.6%
0.0013280212483399733	105	12.2%
1.0	1	0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
0.0	752	87.6%
0.0013280212483399733	105	12.2%
1.0	1	0.1%

Most occurring characters

Value	Count	Frequency (%)
0	1925	43.1%
.	858	19.2%
3	525	11.8%
2	315	7.1%
1	211	4.7%
8	210	4.7%
9	210	4.7%
4	105	2.4%
7	105	2.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3606	80.8%
Other Punctuation	858	19.2%

Most frequent character per category

Value	Count	Frequency (%)
0	1925	53.4%
3	525	14.6%
2	315	8.7%
1	211	5.9%
8	210	5.8%
9	210	5.8%
4	105	2.9%
7	105	2.9%

Value	Count	Frequency (%)
.	858	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4464	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	1925	43.1%
.	858	19.2%
3	525	11.8%
2	315	7.1%
1	211	4.7%
8	210	4.7%
9	210	4.7%
4	105	2.4%
7	105	2.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4464	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	1925	43.1%
.	858	19.2%
3	525	11.8%
2	315	7.1%
1	211	4.7%
8	210	4.7%
9	210	4.7%
4	105	2.4%
7	105	2.4%

STDs:genital herpes
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	6.8 KiB

0.0	752
0.0013280212483399733	105
1.0	1

Length

Max length	21
Median length	3
Mean length	5.202797203
Min length	3

Characters and Unicode

Total characters	4464
Distinct characters	9
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.1%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Value	Count	Frequency (%)
0.0	752	87.6%
0.0013280212483399733	105	12.2%
1.0	1	0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
0.0	752	87.6%
0.0013280212483399733	105	12.2%
1.0	1	0.1%

Most occurring characters

Value	Count	Frequency (%)
0	1925	43.1%
.	858	19.2%
3	525	11.8%
2	315	7.1%
1	211	4.7%
8	210	4.7%
9	210	4.7%
4	105	2.4%
7	105	2.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3606	80.8%
Other Punctuation	858	19.2%

Most frequent character per category

Value	Count	Frequency (%)
0	1925	53.4%
3	525	14.6%
2	315	8.7%
1	211	5.9%
8	210	5.8%
9	210	5.8%
4	105	2.9%
7	105	2.9%

Value	Count	Frequency (%)
.	858	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4464	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	1925	43.1%
.	858	19.2%
3	525	11.8%
2	315	7.1%
1	211	4.7%
8	210	4.7%
9	210	4.7%
4	105	2.4%
7	105	2.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4464	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	1925	43.1%
.	858	19.2%
3	525	11.8%
2	315	7.1%
1	211	4.7%
8	210	4.7%
9	210	4.7%
4	105	2.4%
7	105	2.4%

STDs:molluscum contagiosum
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	6.8 KiB

0.0	752
0.0013280212483399733	105
1.0	1

Length

Max length	21
Median length	3
Mean length	5.202797203
Min length	3

Characters and Unicode

Total characters	4464
Distinct characters	9
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.1%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Value	Count	Frequency (%)
0.0	752	87.6%
0.0013280212483399733	105	12.2%
1.0	1	0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
0.0	752	87.6%
0.0013280212483399733	105	12.2%
1.0	1	0.1%

Most occurring characters

Value	Count	Frequency (%)
0	1925	43.1%
.	858	19.2%
3	525	11.8%
2	315	7.1%
1	211	4.7%
8	210	4.7%
9	210	4.7%
4	105	2.4%
7	105	2.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3606	80.8%
Other Punctuation	858	19.2%

Most frequent character per category

Value	Count	Frequency (%)
0	1925	53.4%
3	525	14.6%
2	315	8.7%
1	211	5.9%
8	210	5.8%
9	210	5.8%
4	105	2.9%
7	105	2.9%

Value	Count	Frequency (%)
.	858	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4464	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	1925	43.1%
.	858	19.2%
3	525	11.8%
2	315	7.1%
1	211	4.7%
8	210	4.7%
9	210	4.7%
4	105	2.4%
7	105	2.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4464	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	1925	43.1%
.	858	19.2%
3	525	11.8%
2	315	7.1%
1	211	4.7%
8	210	4.7%
9	210	4.7%
4	105	2.4%
7	105	2.4%

STDs:AIDS
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	6.8 KiB

0.0	858

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	2574
Distinct characters	2
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Value	Count	Frequency (%)
0.0	858	100.0%

Histogram of lengths of the category

Value	Count	Frequency (%)
0.0	858	100.0%

Most occurring characters

Value	Count	Frequency (%)
0	1716	66.7%
.	858	33.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1716	66.7%
Other Punctuation	858	33.3%

Most frequent character per category

Value	Count	Frequency (%)
0	1716	100.0%

Value	Count	Frequency (%)
.	858	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	2574	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	1716	66.7%
.	858	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2574	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	1716	66.7%
.	858	33.3%

STDs:HIV
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	6.8 KiB

0.0	735
0.02390438247011952	105
1.0	18

Length

Max length	19
Median length	3
Mean length	4.958041958
Min length	3

Characters and Unicode

Total characters	4254
Distinct characters	10
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Value	Count	Frequency (%)
0.0	735	85.7%
0.02390438247011952	105	12.2%
1.0	18	2.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
0.0	735	85.7%
0.02390438247011952	105	12.2%
1.0	18	2.1%

Most occurring characters

Value	Count	Frequency (%)
0	1908	44.9%
.	858	20.2%
2	315	7.4%
1	228	5.4%
3	210	4.9%
9	210	4.9%
4	210	4.9%
8	105	2.5%
7	105	2.5%
5	105	2.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3396	79.8%
Other Punctuation	858	20.2%

Most frequent character per category

Value	Count	Frequency (%)
0	1908	56.2%
2	315	9.3%
1	228	6.7%
3	210	6.2%
9	210	6.2%
4	210	6.2%
8	105	3.1%
7	105	3.1%
5	105	3.1%

Value	Count	Frequency (%)
.	858	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4254	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	1908	44.9%
.	858	20.2%
2	315	7.4%
1	228	5.4%
3	210	4.9%
9	210	4.9%
4	210	4.9%
8	105	2.5%
7	105	2.5%
5	105	2.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4254	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	1908	44.9%
.	858	20.2%
2	315	7.4%
1	228	5.4%
3	210	4.9%
9	210	4.9%
4	210	4.9%
8	105	2.5%
7	105	2.5%
5	105	2.5%

STDs:Hepatitis B
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	6.8 KiB

0.0	752
0.0013280212483399733	105
1.0	1

Length

Max length	21
Median length	3
Mean length	5.202797203
Min length	3

Characters and Unicode

Total characters	4464
Distinct characters	9
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.1%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Value	Count	Frequency (%)
0.0	752	87.6%
0.0013280212483399733	105	12.2%
1.0	1	0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
0.0	752	87.6%
0.0013280212483399733	105	12.2%
1.0	1	0.1%

Most occurring characters

Value	Count	Frequency (%)
0	1925	43.1%
.	858	19.2%
3	525	11.8%
2	315	7.1%
1	211	4.7%
8	210	4.7%
9	210	4.7%
4	105	2.4%
7	105	2.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3606	80.8%
Other Punctuation	858	19.2%

Most frequent character per category

Value	Count	Frequency (%)
0	1925	53.4%
3	525	14.6%
2	315	8.7%
1	211	5.9%
8	210	5.8%
9	210	5.8%
4	105	2.9%
7	105	2.9%

Value	Count	Frequency (%)
.	858	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4464	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	1925	43.1%
.	858	19.2%
3	525	11.8%
2	315	7.1%
1	211	4.7%
8	210	4.7%
9	210	4.7%
4	105	2.4%
7	105	2.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4464	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	1925	43.1%
.	858	19.2%
3	525	11.8%
2	315	7.1%
1	211	4.7%
8	210	4.7%
9	210	4.7%
4	105	2.4%
7	105	2.4%

STDs:HPV
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	6.8 KiB

0.0	751
0.0026560424966799467	105
1.0	2

Length

Max length	21
Median length	3
Mean length	5.202797203
Min length	3

Characters and Unicode

Total characters	4464
Distinct characters	9
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Value	Count	Frequency (%)
0.0	751	87.5%
0.0026560424966799467	105	12.2%
1.0	2	0.2%

Histogram of lengths of the category

Value	Count	Frequency (%)
0.0	751	87.5%
0.0026560424966799467	105	12.2%
1.0	2	0.2%

Most occurring characters

Value	Count	Frequency (%)
0	1924	43.1%
.	858	19.2%
6	525	11.8%
4	315	7.1%
9	315	7.1%
2	210	4.7%
7	210	4.7%
5	105	2.4%
1	2	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3606	80.8%
Other Punctuation	858	19.2%

Most frequent character per category

Value	Count	Frequency (%)
0	1924	53.4%
6	525	14.6%
4	315	8.7%
9	315	8.7%
2	210	5.8%
7	210	5.8%
5	105	2.9%
1	2	0.1%

Value	Count	Frequency (%)
.	858	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4464	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	1924	43.1%
.	858	19.2%
6	525	11.8%
4	315	7.1%
9	315	7.1%
2	210	4.7%
7	210	4.7%
5	105	2.4%
1	2	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4464	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	1924	43.1%
.	858	19.2%
6	525	11.8%
4	315	7.1%
9	315	7.1%
2	210	4.7%
7	210	4.7%
5	105	2.4%
1	2	< 0.1%

STDs: Number of diagnosis
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	4
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	6.8 KiB

0	787
1	68
2	2
3	1

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	858
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.1%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Value	Count	Frequency (%)
0	787	91.7%
1	68	7.9%
2	2	0.2%
3	1	0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
0	787	91.7%
1	68	7.9%
2	2	0.2%
3	1	0.1%

Most occurring characters

Value	Count	Frequency (%)
0	787	91.7%
1	68	7.9%
2	2	0.2%
3	1	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	858	100.0%

Most frequent character per category

Value	Count	Frequency (%)
0	787	91.7%
1	68	7.9%
2	2	0.2%
3	1	0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	858	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	787	91.7%
1	68	7.9%
2	2	0.2%
3	1	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	858	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	787	91.7%
1	68	7.9%
2	2	0.2%
3	1	0.1%

Dx:Cancer
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	6.8 KiB

0	840
1	18

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	858
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	1
5th row	0

Value	Count	Frequency (%)
0	840	97.9%
1	18	2.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
0	840	97.9%
1	18	2.1%

Most occurring characters

Value	Count	Frequency (%)
0	840	97.9%
1	18	2.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	858	100.0%

Most frequent character per category

Value	Count	Frequency (%)
0	840	97.9%
1	18	2.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	858	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	840	97.9%
1	18	2.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	858	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	840	97.9%
1	18	2.1%

Dx:CIN
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	6.8 KiB

0	849
1	9

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	858
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Value	Count	Frequency (%)
0	849	99.0%
1	9	1.0%

Histogram of lengths of the category

Value	Count	Frequency (%)
0	849	99.0%
1	9	1.0%

Most occurring characters

Value	Count	Frequency (%)
0	849	99.0%
1	9	1.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	858	100.0%

Most frequent character per category

Value	Count	Frequency (%)
0	849	99.0%
1	9	1.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	858	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	849	99.0%
1	9	1.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	858	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	849	99.0%
1	9	1.0%

Dx:HPV
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	6.8 KiB

0	840
1	18

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	858
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	1
5th row	0

Value	Count	Frequency (%)
0	840	97.9%
1	18	2.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
0	840	97.9%
1	18	2.1%

Most occurring characters

Value	Count	Frequency (%)
0	840	97.9%
1	18	2.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	858	100.0%

Most frequent character per category

Value	Count	Frequency (%)
0	840	97.9%
1	18	2.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	858	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	840	97.9%
1	18	2.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	858	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	840	97.9%
1	18	2.1%

Dx
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	6.8 KiB

0	834
1	24

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	858
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Value	Count	Frequency (%)
0	834	97.2%
1	24	2.8%

Histogram of lengths of the category

Value	Count	Frequency (%)
0	834	97.2%
1	24	2.8%

Most occurring characters

Value	Count	Frequency (%)
0	834	97.2%
1	24	2.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	858	100.0%

Most frequent character per category

Value	Count	Frequency (%)
0	834	97.2%
1	24	2.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	858	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	834	97.2%
1	24	2.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	858	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	834	97.2%
1	24	2.8%

Hinselmann
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	6.8 KiB

0	823
1	35

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	858
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Value	Count	Frequency (%)
0	823	95.9%
1	35	4.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
0	823	95.9%
1	35	4.1%

Most occurring characters

Value	Count	Frequency (%)
0	823	95.9%
1	35	4.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	858	100.0%

Most frequent character per category

Value	Count	Frequency (%)
0	823	95.9%
1	35	4.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	858	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	823	95.9%
1	35	4.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	858	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	823	95.9%
1	35	4.1%

Schiller
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	6.8 KiB

0	784
1	74

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	858
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Value	Count	Frequency (%)
0	784	91.4%
1	74	8.6%

Histogram of lengths of the category

Value	Count	Frequency (%)
0	784	91.4%
1	74	8.6%

Most occurring characters

Value	Count	Frequency (%)
0	784	91.4%
1	74	8.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	858	100.0%

Most frequent character per category

Value	Count	Frequency (%)
0	784	91.4%
1	74	8.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	858	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	784	91.4%
1	74	8.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	858	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	784	91.4%
1	74	8.6%

Citology
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	6.8 KiB

0	814
1	44

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	858
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Value	Count	Frequency (%)
0	814	94.9%
1	44	5.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
0	814	94.9%
1	44	5.1%

Most occurring characters

Value	Count	Frequency (%)
0	814	94.9%
1	44	5.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	858	100.0%

Most frequent character per category

Value	Count	Frequency (%)
0	814	94.9%
1	44	5.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	858	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	814	94.9%
1	44	5.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	858	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	814	94.9%
1	44	5.1%

Biopsy
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	6.8 KiB

0	803
1	55

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	858
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Value	Count	Frequency (%)
0	803	93.6%
1	55	6.4%

Histogram of lengths of the category

Value	Count	Frequency (%)
0	803	93.6%
1	55	6.4%

Most occurring characters

Value	Count	Frequency (%)
0	803	93.6%
1	55	6.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	858	100.0%

Most frequent character per category

Value	Count	Frequency (%)
0	803	93.6%
1	55	6.4%

Most occurring scripts

Value	Count	Frequency (%)
Common	858	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	803	93.6%
1	55	6.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	858	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	803	93.6%
1	55	6.4%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows

	Age	Number of sexual partners	First sexual intercourse	Num of pregnancies	Smokes	Smokes (years)	Smokes (packs/year)	Hormonal Contraceptives	Hormonal Contraceptives (years)	IUD	IUD (years)	Dx:Cancer	Dx:HPV	Dx	Hinselmann	Schiller	Biopsy
0	18	4.0	15.0000	1.000000	0.0	0.000000	0.0	0.0	0.0	0.000000	0.000000	0	0	0	0	0	0
1	15	1.0	14.0000	1.000000	0.0	0.000000	0.0	0.0	0.0	0.000000	0.000000	0	0	0	0	0	0
2	34	1.0	16.9953	1.000000	0.0	0.000000	0.0	0.0	0.0	0.000000	0.000000	0	0	0	0	0	0
3	52	5.0	16.0000	4.000000	1.0	37.000000	37.0	1.0	3.0	0.000000	0.000000	1	1	0	0	0	0
4	46	3.0	21.0000	4.000000	0.0	0.000000	0.0	1.0	15.0	0.000000	0.000000	0	0	0	0	0	0
5	42	3.0	23.0000	2.000000	0.0	0.000000	0.0	0.0	0.0	0.000000	0.000000	0	0	0	0	0	0
6	51	3.0	17.0000	6.000000	1.0	34.000000	3.4	0.0	0.0	1.000000	7.000000	0	0	0	1	1	1
7	26	1.0	26.0000	3.000000	0.0	0.000000	0.0	1.0	2.0	1.000000	7.000000	0	0	0	0	0	0
8	45	1.0	20.0000	5.000000	0.0	0.000000	0.0	0.0	0.0	0.000000	0.000000	1	1	1	0	0	0
9	44	3.0	15.0000	2.275561	1.0	1.266973	2.8	0.0	0.0	0.112011	0.514804	0	0	0	0	0	0

Last rows

	Age	Number of sexual partners	First sexual intercourse	Num of pregnancies	Smokes	Smokes (years)	Smokes (packs/year)	Hormonal Contraceptives	Hormonal Contraceptives (years)	STDs	STDs (number)	STDs:HPV	Dx:Cancer	Dx:HPV	Citology
848	31	3.0	18.0	1.0	0.0	0.0	0.00	1.0	0.50	0.0	0.0	0.0	0	0	0
849	32	3.0	18.0	1.0	1.0	11.0	0.16	1.0	6.00	1.0	1.0	1.0	1	1	0
850	19	1.0	14.0	0.0	0.0	0.0	0.00	0.0	0.00	0.0	0.0	0.0	0	0	0
851	23	2.0	15.0	2.0	0.0	0.0	0.00	0.0	0.00	0.0	0.0	0.0	0	0	0
852	43	3.0	17.0	3.0	0.0	0.0	0.00	1.0	5.00	0.0	0.0	0.0	0	0	0
853	34	3.0	18.0	0.0	0.0	0.0	0.00	0.0	0.00	0.0	0.0	0.0	0	0	0
854	32	2.0	19.0	1.0	0.0	0.0	0.00	1.0	8.00	0.0	0.0	0.0	0	0	0
855	25	2.0	17.0	0.0	0.0	0.0	0.00	1.0	0.08	0.0	0.0	0.0	0	0	1
856	33	2.0	24.0	2.0	0.0	0.0	0.00	1.0	0.08	0.0	0.0	0.0	0	0	0
857	29	2.0	20.0	1.0	0.0	0.0	0.00	1.0	0.50	0.0	0.0	0.0	0	0	0

Most frequent

	Age	Number of sexual partners	First sexual intercourse	Num of pregnancies	Hormonal Contraceptives	Hormonal Contraceptives (years)	IUD	IUD (years)	STDs	STDs (number)	STDs:condylomatosis	STDs:vaginal condylomatosis	STDs:vulvo-perineal condylomatosis	STDs:syphilis	STDs:pelvic inflammatory disease	STDs:genital herpes	STDs:molluscum contagiosum	STDs:HIV	STDs:Hepatitis B	STDs:HPV	count
0	15	1.0	14.0	1.0	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	4
7	17	2.0	15.0	1.0	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	3
1	15	1.0	15.0	1.0	0.641333	2.256419	0.112011	0.514804	0.104914	0.176627	0.058433	0.005312	0.057105	0.023904	0.001328	0.001328	0.001328	0.023904	0.001328	0.002656	2
2	15	2.0	14.0	1.0	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	2
3	16	1.0	14.0	1.0	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	2
4	16	1.0	15.0	1.0	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	2
5	17	1.0	16.0	1.0	0.641333	2.256419	0.112011	0.514804	0.104914	0.176627	0.058433	0.005312	0.057105	0.023904	0.001328	0.001328	0.001328	0.023904	0.001328	0.002656	2
6	17	1.0	17.0	1.0	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	2
8	17	2.0	15.0	1.0	1.000000	0.330000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	2
9	18	1.0	14.0	2.0	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	2

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters